Accelerating scientific discovery
July 2023
Overview
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About eLife
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Median Franco and Lopez and Lopez 2022; Brainard 2021; Roche et al., 2021
What is the purpose of Scientific Publishing?
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The current system is slow
The average time to publication is 9 months – about the same time as human gestation
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Bjork and Solomon, 2013
Christie et al., 2021
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Current metrics (e.g., citations and impact factor) do not capture individuals’ scientific impact.
The validity of citation-based metrics (including the impact factor) is being compromised.
Davies et al., 2021
Fire and Guestrin 2019
The current publishing metrics are not reliable
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The current system under-values the time of academics
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Puehringer et al., 2021; Aczel et al., 2021
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Costs keep increasing in the current system
Evidence suggests supra-inflation increase of both subscription prices for scholarly journals and open access publishing fees.
Mekonnen et al., 2021
Van Noorden 2013
Grossmann and Brembs, 2021
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Scientists want change…
Survey by eLife in 2021 showed a demand for an evolution in publishing by early career researchers, especially transparency
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…and there is broader movement for change
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Preprints are a first step in a new system
Source: PLOS survey https://plos.org/open-science/preprints/
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Preprints are widely accepted in grant applications
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Preprints – Pros and cons
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Advantages
Disadvantages
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In a world where preprints are the norm, what is the role of journals?
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Our criteria for a better model
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Increased value
Faster
Good for �science
Good for �scientists
More control �to authors
More �transparent
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The new publishing model at eLife
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Submission (1)
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Peer Review (2)
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Publication (3)
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How it looks
eLife assessment: curation that sits under the Abstract (difficult to miss)
Indication that the work is a reviewed preprint
Public peer reviews available within the eLife website
Article review history
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Significance of Findings | Strength of Evidence |
Landmark: Findings with profound implications �and widespread influence, which are likely to be of �broad interest. | Exceptional: Exemplary use of existing and new methods that establishes new standards for a field. |
Fundamental: Findings that substantially advance understanding of important research questions. | Compelling: High quality data and analyses, more rigorous than �the current state-of-the-art. |
Important: Findings with theoretical or practical implications for multiple subfields. | Convincing: Appropriate and validated methodology in line with current state-of-the-art, with good support for the claims. |
Valuable: Findings with theoretical or practical implications for a subfield. | Solid: Uses appropriate methodology, with minor weaknesses. |
Useful: Findings with focused importance and scope. | Incomplete: Methodology provides some support for the main �claims with some limitations. |
| Inadequate: Methodology does not provide support for the �primary claims. |
eLife assessments: common vocabulary
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eLife assessment: examples
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Author Revision (4)
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Version of Record (5)
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The new eLife model: overview
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Our criteria for a better model
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Increased value
Faster
Good for �science
Good for �scientists
More control �to authors
More �transparent
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Benefits: faster
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Better value
Faster
Good for �science
Good for �scientists
More control�to authors
More �transparent
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Benefits: good for science
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Faster
Good for �science
Good for �scientists
More control�to authors
More �transparent
Better value
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Benefits: good for scientists
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Faster
Good for �science
Good for �scientists
More control�to authors
More �transparent
Better value
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Benefits: more transparent
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Faster
Good for �science
Good for �scientists
More control�to authors
More �transparent
Better value
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accelerating scientific discovery
Benefits: more control to authors
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Faster
Good for �science
Good for �scientists
More control�to authors
More �transparent
Better value
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Benefits: better value
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Faster
Good for �science
Good for �scientists
More control�to authors
More �transparent
Better value
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Our action contributes to debate and discussion
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More information
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Public support
eLife's funders as well as other funding bodies and research institutions support the use of reviewed preprints in research assessment
University of Bristol Library Services
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Common questions (for reference)
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Follow @eLife��Visit elifesciences.org
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Will my research still count?
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How are you choosing what to review?
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What if authors get bad reviews?
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Can authors take the reviewed preprint and publish it somewhere else?
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Will peer reviews be signed?
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Will eLife pay reviewers?
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Will eLife Impact Factor change?
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Time investment from the editors
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Review Commons: what is it?
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eLife and Review Commons: main differences
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Peer Community In (PCI): what is it?
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eLife and PCI: main differences
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F1000 Research: what is it?
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eLife and F1000: main differences
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What about front matter articles?
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Retractions
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How do I cite a reviewed preprint?
For bibliographies:
Jordan Rebecca, Keller Georg B. (2023) The locus coeruleus broadcasts prediction errors across the cortex to promote sensorimotor plasticity eLife 12:RP85111
https://doi.org/10.7554/eLife.85111.1 - uses “version DOI” that refers to the specific article version (e.g., reviewed preprint, VOR, etc.) being cited
For CVs:
Jordan Rebecca, Keller Georg B. (2023) The locus coeruleus broadcasts prediction errors across the cortex to promote sensorimotor plasticity eLife 12:RP85111
https://doi.org/10.7554/eLife.85111 - uses “parent DOI” that always refers to latest version of the article
This important study provides convincing evidence that locus coeruleus is activated during visuomotor mismatches. Gain of function optogenetic experiments complement this evidence and indicate that locus coeruleus could be involved in the learning process that enables visuomotor predictions. This study therefore sets the groundwork for the circuit dissection of predictive signals in the visual cortex. Loss-of-function experiments would strengthen the evidence of the involvement of locus coeruleus in prediction learning. These results will be of interest to systems neuroscientists.
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